BSc Hons Accounting, Business Finance and Management
This degree offers a solid foundation in financial, management, and accounting principl...
MSc Statistics and Computational Finance
York
INTAKE: September
Program Overview
This course trains students to work as professional statisticians at the interface between statistics and finance. The emphasis is on data analysis, equipping students with contemporary statistical ideas and methodologies applicable in various sectors, including finance, sociology, health science, medical science, and biology. The program also serves as a foundation for further academic study, with many students progressing to PhD research.
Curriculum: The curriculum comprises core modules such as Survival Analysis and Generalised Linear Models, Statistical Pattern Recognition, Time Series, Multivariate Data Analysis, and Computational Finance with Python. Students also select one optional module from offerings like Decision Theory and Bayesian Statistics, Mathematical Methods of Finance, or Mathematical Finance in Discrete Time. The program culminates in a dissertation, allowing students to apply their learning to a substantial research project.
Research Focus: The Department of Mathematics at York has a thriving research culture, with the Statistics and Probability Group producing world-class research published in top journals. Graduate students have access to this expertise and are exposed to global research developments through regular seminars and working groups.
Industry Engagement: The program emphasizes data analysis and provides contemporary statistical ideas and methodologies attractive to prospective employers. The skills gained are applicable in a wide range of financial data analysis and other sectors requiring data analysis, enhancing employability in industry and public sectors.
Global Perspective: The MSc attracts a diverse cohort of students, fostering a global perspective. The curriculum is designed to be applicable across various sectors worldwide, preparing students to operate effectively in international contexts.
Location
York
Score
IELTS 6.5
Tuition Fee
£ 33700
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 87, with at least 21 in Listening, 21 in Reading, 21 in Speaking, and 23 in Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 55.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of York, located in the UK, offers a range of scholarships to support their educational journey. These scholarships aim to recognize academic excellence, encourage cultural diversity, and provide financial assistance to deserving students.
Academic Excellence Scholarships: The University of York offers scholarships based on academic merit to outstanding international students applying for undergraduate or postgraduate programs. The scholarships provide financial support in the form of partial tuition fee reductions.
Vice-Chancellor's Scholarships: These prestigious scholarships are awarded to exceptional international students who demonstrate outstanding academic achievements and leadership potential. The scholarships cover full tuition fees and also provide a generous living stipend to support the students' living expenses during their studies.
Departmental Scholarships: Many departments within the University of York offer scholarships to international students within specific academic fields. These scholarships may cover partial or full tuition fees and are awarded based on academic excellence and potential within the chosen field.
Country-Specific Scholarships: The University of York provides scholarships specifically designed for students from certain countries or regions. These scholarships aim to promote diversity and international collaboration. Examples include the York Graduate Research School Scholarships for students from specific countries or regions.
Research Scholarships: International students interested in pursuing research-based programs such as Ph.D. or MPhil have opportunities to apply for research scholarships. These scholarships provide financial support by covering tuition fees and offering a stipend to assist with living expenses. Funding sources for research scholarships include government grants, research councils, and industry partnerships.
External Scholarships: The University of York encourages international students to explore external scholarship opportunities provided by governments, organizations, or foundations in their home countries. The university provides guidance and support to students in identifying and applying for these external scholarships.
Graduates of the MSc Statistics and Computational Finance program from the University of York are well-prepared for rewarding careers at the intersection of finance, statistics, and computational analysis.
Quantitative Analyst: Graduates can work as quantitative analysts, leveraging statistical techniques and computational models to analyze financial data, develop trading strategies, and inform risk management decisions.
Risk Manager: Equipped with risk management expertise, graduates can become risk managers, responsible for identifying, assessing, and mitigating financial risks within organizations.
Data Scientist: Graduates can pursue roles as data scientists in the finance industry, using statistical analysis and computational techniques to extract insights from financial data and drive informed decision-making.
Financial Analyst: With skills in data analysis and finance, graduates can work as financial analysts, conducting in-depth analysis of financial markets, assets, and investment opportunities.
Algorithmic Trader: Graduates can excel as algorithmic traders, using computational models and algorithms to execute trades, optimize portfolios, and capitalize on market trends.
Financial Software Developer: Equipped with computational skills, graduates can become financial software developers, creating software solutions for data analysis, modeling, and financial decision-making.
